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Applied Machine Learning Machine learning is a powerful tool for extracting insights from data and making predictions. Applied machine learning refers to the use of machine learning techniques to solve real-world problems. This can involve building models to predict customer behavior, identify fraud, or diagnose medical conditions, among other applications. In this article, we will discuss the steps involved in applied machine learning. |2023-03-05|
All algorithms implemented in Python, for education Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.
The intended goal was to cover more than just the technical component of data science. I have tried to find topics that cover building data science teams, business practices, use-cases, product metrics and data science career paths. Hope this is helpful
Fatih Aktürk, Hüseyin Mert & Osman Ungur, Recep Erol.
An open source Data Science repository to learn and apply towards solving real world problems. This is a shortcut path to start studying Data Science. Just follow the steps to answer the questions, "What is Data Science and what should I study to learn Data Science?"
Jobs linked to data science are becoming more and more popular. A bunch of tutorials could easily complete this roadmap, helping whoever wants to start learning stuff about data science. For the moment, a lot is got on wikipedia (except for codes, always handmade). Any help's thus welcome!
Data Science Collected Resources. A trove of carefully curated resources and links (on the topics of software, platforms, language, techniques, etc.) related to data science, all in one place.
This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures.
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language.
litstudy is a Python package that allows analysis of scientific literature from the comfort of a Jupyter notebook. It enables selecting scientific publications and study their metadata using visualizations, network analysis, and natural language processing.
The ASReview Universe consists of many many things, but on the whole, it is a research project conducted at Utrecht University. It uses state-of-the-art active learning techniques to solve one of the most interesting challenges in screening large amounts of text: there’s not enough time to read everything! Part of the universe is ASReview LAB, free and open source software for screening large amounts of textual data in a smarter way 🤓.
Living systematic reviews should be reported in as much detail as possible, ideally using a standardised flow diagram to show the fate of all evidence identified, screened and included. The PRISMA 2020 flow diagram is the latest update of the PRISMA flow diagram. This package allows users to produce bespoke flow diagrams modelled after PRISMA. Users can choose whether to include 'previous' and 'other' arms of the flow diagram, and multiple updates are included from the template CSV file as separate columns in each box of the diagram.
litstudy is a Python package that enables analysis of scientific literature from the comfort of a Jypyter notebook. The package allows one to select scientific publications and study their metadata using visualizations, network analysis, and natural language processing.
TextReducer is a tool for summarization and information extraction powered by the SentenceTransformer library. Unlike many techniques for extractive summaries, TextReducer has the option for a "target" around which the summary will be focused. This target can be any text prompt, meaning that a user can specify the type of information that they would like to find or summarize, and ignore everything else.
In this workbook, Writing Your Journal Article in Twelve Weeks: A Guide to Academic Publishing Success, it take you through all the steps to revising a classroom paper, conference paper, or thesis chapter into a peer-reviewed journal article that you send to a journal.
This course teaches scientists to become more effective writers, using practical examples and exercises. Topics include: principles of good writing, tricks for writing faster and with less anxiety, the format of a scientific manuscript, peer review, grant writing, ethical issues in scientific publication, and writing for general audiences.
In this project-based course, you will outline a complete scientific paper, choose an appropriate journal to which you'll submit the finished paper for publication, and prepare a checklist that will allow you to independently judge whether your paper is ready to submit.
We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis.
This course is designed as a basic introduction to the complex world of research methods and provides both theoretical and practical information for students to give them a foundation for carrying out research in a wide range of disciplines using quantitative, qualitative, and mixed methods.
A 12-week, 26-lesson curriculum all about Machine Learning offered by Microsoft Azure. In this curriculum, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library
A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php. Moreover with resources: a list of free machine learning books, professional machine learning events, free machine learning courses available online, blogs and newsletters on data science and machine learning, free-to-attend meetups and local events
You can find nearly any learning resource about deep learning and machine learning etc, the only thing you have to consider is which is the best for you and how long you can finish it. A COMPREHENSIVE repo with deep learning, machine learning, reinforcement learning, optimizaition in machine learning, CV, NLP, Boot Camps or Summer Schools.
The book has been updated for pandas 1.4.0 and Python 3.10. The changes between the 2nd and 3rd editions are focused on bringing the content up-to-date with changes in pandas since 2017.
In Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand - no prior programming experience required.
(R17A0534) Machine Learning, Objectives: Acquire theoretical Knowledge on setting hypothesis for pattern recognition. Apply suitable machine learning techniques for data handling and to gain knowledge from it. Evaluate the performance of algorithms and to provide solution for various real world applications.
This book presents you with an opportunity to master some of the most important concepts and fundamentals of the Python language by solving challenges. There are more than 80 challenges in this book, and you are required to solve them in 50 days. Solve one challenge or two a day and go on about your business and by the end of 50 days, you will have mastered Python fundamentals.
Collective Wisdom from the Experts, this book is a collection of advice from a wide range of individuals who have learned valuable lessons about working with data the hard way. To save you the work of making their same mistakes, we have collected their advice to give you a set of building blocks that can be used to lay your own foundation for a successful career in data engineering.
Data Analytics is the process of exploring and analyzing large datasets to find hidden patterns, unseen trends, discover correlations, and derive valuable insights to make business predictions. It helps in Improved Decision Making, Better Customer Service, Efficient Operations, Effective Marketing and Improves the Speed and Efficiency of the business.
Andrew sits down with Hinton to discuss his first exposure to AI, his current research projects, and his changing understanding of AI throughout the decades.
Data science interview questions - with answers, theoretical questions involving linear models, trees, neural networks and others, technical questions involving SQL, Python, coding etc.
Whether you are writing a thesis, dissertation, or research paper it is a key task to survey prior literature and research findings. More likely than not, you will be looking for trusted resources, most likely peer-reviewed research articles. Academic research databases make it easy to locate the literature you are looking for. We have compiled the top list of trusted academic resources to help you get started with your research:
Scopus is one of the two big commercial, bibliographic databases that cover scholarly literature from almost any discipline. Beside searching for research articles, Scopus also provides academic journal rankings, author profiles, and an h-index calculator.
Web of Science also known as Web of Knowledge is the second big bibliographic database. Usually, academic institutions provide either access to Web of Science or Scopus on their campus network for free.
PubMed is the number one resource for anyone looking for literature in medicine or biological sciences. PubMed stores abstracts and bibliographic details of more than 30 million papers and provides full text links to the publisher sites or links to the free PDF on PubMed Central (PMC).
For education sciences, ERIC is the number one destination. ERIC stands for Education Resources Information Center, and is a database that specifically hosts education-related literature.
IEEE Xplore is the leading academic database in the field of engineering and computer science. It's not only journal articles, but also conference papers, standards and books that can be search for.
ScienceDirect is the gateway to the millions of academic articles published by Elsevier. 2,500 journals and more than 40,000 e-books can be searched via a single interface.
The DOAJ is very special academic database since all the articles indexed are open access and can be accessed freely of charge.
Citation Management Tools
Bibliography maker tools are some of the more helpful solutions for students and researchers alike. It’s no secret that many researchers wish to do away with this part after a laboring through their research methodology and other crucial parts of their papers. But various editing styles and their accompanying citation formats ensure that rendering this part of the paper does not come straightforward as it should.
Today, there is a plethora of solutions in the market that were not available decades ago. These include self-created databases and web-based citation generators (Emanuel, 2013). With an array of options available, one might be asking what’s the best citation generator to use.
No
Name
Description
1
Mendeley Cite
Mendeley Cite is a plug-in for Microsoft Word that lets you cite sources without leaving your document. The plug-in appears in the References tab in Word which allows you to automatically add in-text citations and generate bibliographies.
2
Zotero
Zotero is a free, open-source research tool that lets you collect research material, organize them, and create references and bibliographies. Zotero has a downloadable desktop app for Mac and Windows. They also have Zotero Connector, a browser extension that allows you to save webpages online and sync it to the desktop app.
3
EndNote
Endnote is a complete reference management software that promises users to research smarter. Aside from your own library where you can gather, sort, and share your research, it also has a Cite-As-You-Write plug-in for Word and Mac. The plug-in bridges your EndNote library and Microsoft Word or Apple Pages so you can seamlessly cite sources without switching to different interfaces.
4
Paperpile
Paperpile is a subscription-based reference management system that lets you store, organize, and share your research all from one place. The paid version includes beta version of Word plug-ins for Mac and Windows. However, Paperpile also offers a free reference manager for Google Docs.
5
Cite This For Me
Cite This For Me has a decent amount of tools that will make citation easier and faster. Though it can only support a moderate number of source types, it makes up for it in the array of citation styles available. While it has the usual download, export, and copy-and-paste tools that other citation generators have, its collaboration features make it unique.
6
Citation Machine
Citation Machine is a free online bibliography generator that’s also straightforward to use. Like most citation generators, users are asked to identify the source material, look for it via URL or search term, and supply any missing information to complete the citation.
7
EasyBib
EasyBib is another free, easy-to-use online bibliography maker. Like Citation Machine, EasyBib is part of the online learning platform Chegg Service. This probably explains why it has a similar interface and features to Citation Machine.
8
BibMe
BibMe is an online bibliography generator that makes the tedious task of citation more convenient.
9
CiteMaker
Touting itself as a best-in-class referencing tool, CiteMaker is a bibliography maker that promises fast output in three easy steps (CiteMaker, n.d.).
10
Citefast
Citefast is an online citation generator that promises not only a free tool but also a fast one. Citefast can automatically generate citations out of web page URLs, ISBNs, and more. You can also type in the information yourself. Fields for reference data have tips that you can hover over so you know how to properly format your sources.
11
KnightCite
KnightCite is a free online citation generation service run by the Hekman Library at Calvin College. It was created by a student of the school with the aim of building a quick and reliable citation tool for other students (Calvin University, n.d.).
12
Citation Builder
Citation Builder is a free online bibliography maker hosted by the North Carolina State University library. It has a rather simplistic interface with dropdowns for the resource type and citation style. You just have to choose the options from the dropdown and manually fill out the needed information for the resource type. Once you hit Submit, it will generate a citation for you which you can then copy and paste to a document (NC State University, n.d.).
13
OttoBib
OttoBib is a straightforward online citation generator that lets you cite books using their International Standard Book Number (ISBNs). You can cite multiple ISBNs as long as they are separated with commas. OttoBib supports MLA, APA, Chicago/Turabian, BibTeX, and Wikipedia (OttoBib, n.d.).
